A Comprehensive Review of In silico Analysis for Protein S-sulfenylation Sites.

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第一作者： Md Mehedi,Hasan

第一单位： Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820- 8502, Japan.

作者： Md Mehedi,Hasan ^[1] ; Mst Shamima,Khatun ^[2] ; Hiroyuki,Kurata ^[3]

作者单位： Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820- 8502, Japan. ^[1] Laboratory of Bioinformatics, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh. ^[2] Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820- 8502, Japan.;Biomedical Informatics R&D Center, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan. ^[3]

关键词 S-sulfenylation site computational prediction tools feature representation regulatory networks statistical learning tool development.

主题词算法(Algorithms);计算生物学(Computational Biology);计算机模拟(Computer Simulation);蛋白质加工, 转译后(Protein Processing, Post-Translational);蛋白质类(Proteins);次磺酸类(Sulfenic Acids)

DOI 10.2174/0929866525666180905110619

PMID 30182830

发布时间 2019-01-02

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准确一般字义偏差语意偏离译文作用小提交